Tennis Player Stats & Match History Scraper
Pricing
from $1.00 / 1,000 match scrapeds
Tennis Player Stats & Match History Scraper
Scrape full career match history and stats for any ATP/WTA tennis player. No proxy needed, no anti-bot.
Pricing
from $1.00 / 1,000 match scrapeds
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0.0
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Developer
Nitin jha
Maintained by CommunityActor stats
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3
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2
Monthly active users
5 days ago
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Export full career match history and stats for any ATP or WTA tennis player to JSON, CSV, or any downstream tool. No proxy needed, no anti-bot to fight — just clean, structured data straight from tennisabstract.com.
Last verified working: August 2026 · Schema version: 1.0.0
Why this scraper?
1. Full career history, not just a "recent form" snapshot. Most player-stats tools show you the last few months. This one pulls a player's entire recorded match log — for a top player that's hundreds or even 1,000+ matches, going back to their teenage ITF Futures days. Novak Djokovic alone returns 1,400+ tour-level matches spanning two decades.
2. Real per-match stats, not just scores. Every row includes ace%, double-fault%, first/second serve points won, break points saved, and Dominance Ratio — computed with the same formulas tennisabstract.com itself uses (independently verified match-by-match, not estimated).
3. Never silently fails. If a player name can't be resolved, that player fails loudly in the log — but other valid players in the same run still complete. If a run produces zero matches for every player, the actor exits with a non-zero code and a clear error message instead of a quiet empty dataset.
Input
| Field | Required | Default | Description |
|---|---|---|---|
players | Yes (or playerUrls) | — | e.g. ["Carlos Alcaraz", "Iga Swiatek"] |
playerUrls | Optional | — | Direct tennisabstract.com player URLs |
maxMatchesPerPlayer | No | 0 (all) | Most recent N matches per player. 0 = full career history |
matchType | No | all | all or tour-level (excludes Challengers, Qualifying, Futures, Juniors) |
includePlayerProfile | No | false | Also push a player summary row (rank, Elo, DOB, country) |
Output fields
Every match row contains these fields. Missing values are null — never silently dropped or fabricated.
| Field | Type | Description |
|---|---|---|
matchId | string | Unique match identifier |
playerName / playerSlug | string | The player you requested |
playerCountry | string | null | ISO 3166-1 alpha-3 country code |
opponentName | string | Opponent's name |
opponentSlug | string | null | Best-effort derived slug |
opponentCountry | string | null | ISO 3166-1 alpha-3 country code |
opponentRank / playerRank | integer | null | ATP/WTA ranking at the time of the match |
matchDate | ISO 8601 date | Match date |
tournament | string | Tournament name |
surface | string | null | Hard, Clay, Grass, Carpet |
round | string | e.g. F, SF, QF, R16 |
playerWon | boolean | Whether the requested player won |
score | string | Set score, e.g. 6-4 7-6(3) |
dominanceRatio | float | null | % return points won ÷ % serve points lost |
acePct / doubleFaultPct | float | null | Serve stats, as a percentage of service points |
firstServeInPct / firstServeWonPct / secondServeWonPct | float | null | Serve performance breakdown |
breakPointsSaved | string | null | e.g. "5/6" |
matchDurationMinutes | integer | null | Match length |
sourcePage | string | URL this match was scraped from |
scrapedAt | ISO 8601 datetime | When this row was extracted |
schemaVersion | string | 1.0.0 — for pipeline compatibility |
When includePlayerProfile is enabled, one additional row per player is pushed with recordType: "profile" containing current rank, peak rank, Elo rating, Elo rank, date of birth, height, plays (hand), and country.
Pricing
Charged per match successfully pushed — you only pay for results, never for retries or failures.
| Volume | Cost |
|---|---|
| 100 matches | ~$0.10 |
| 1,000 matches | ~$1.00 |
| 10,000 matches | ~$10.00 |
Player profile rows are charged separately and only when includePlayerProfile is enabled.
How to export a player's full match history to CSV
- Run the actor with the player name(s) you want.
- In the Apify Console, open the Dataset tab and click Export → CSV.
- Or hit the API directly:
GET https://api.apify.com/v2/datasets/{datasetId}/items?format=csv
How to get a tennis player's entire career match log
Leave maxMatchesPerPlayer at 0. The actor returns the player's complete recorded history in one run — for long-career players that's their full ATP/WTA tour record plus lower-level Challenger, Qualifying, and Futures matches going back to their earliest recorded results.
How to get only tour-level matches (exclude Challengers/Qualifiers)
Set matchType to tour-level. This keeps Grand Slams, Masters, regular ATP/WTA tour events, Tour Finals, Olympics, and Davis/Fed Cup — and excludes Challengers, Qualifying, Futures, and Juniors matches.
Tennis stats API alternative
This actor delivers ATP/WTA match history and stats without an official paid tennis data API. It reads publicly available match records — the same data any visitor to tennisabstract.com sees.
How to build a tennis betting or analytics model with match data
Feed the score, surface, dominanceRatio, and serve-stat fields into a model to study surface-specific performance, head-to-head trends, or serve/return efficiency over a player's career. Combine with matchDate to track form over time.
Integrations
Works out of the box with:
- Apify API — fetch results as JSON, CSV, XLSX, XML
- Make (formerly Integromat) — Apify module available
- Zapier — Apify Zap available
- n8n — Apify node available
- Google Sheets — via Apify's native Google Sheets integration
Legal & ethics
This actor scrapes only public match data visible to any web visitor without authentication. Users are responsible for compliance with tennisabstract.com's terms of use and any applicable local regulations.
Changelog
| Date | Version | Notes |
|---|---|---|
| 2026-08-22 | 0.1 | Initial release — full career match history, verified stat formulas, tour-level filter, PPE charging |